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Independent publisher

Minas Fostieris

minas2025

Models in Library1
Datasets in Library1
Models on Hugging Face3
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This profile connects the 2 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.

Published tasks: Text generation.

Reported licenses: gemma. Open a record to review its specific license and conditions.

Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.

Models

A code-focused finetune of llmfan46/gemma-4-E2B-it-ultra-uncensored-heretic (Gemma 4 E2B, ~4.6B effective) built specifically for front-end development (React, TypeScript, HTML/CSS) and general Python scripting. Built on an uncensored base, so it just answers the question—no lectures attached. It’s a small model, trained on a single consumer GPU. It writes React components, fixes CSS grid layouts, and won't judge your useEffect dependencies. Measured with lm-evaluation-harness (greedy decoding, temp 0.0, seed 0). Same harness, same conditions for both models. Note: The base model scores higher on pure, edge-case Python algorithmic logic. Hiding it would be weird. This model intentionally…

Open weights gemma gguf
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Datasets